Multimodal foundation models are rapidly emerging as a transformative force in enterprise imaging—but their underlying mechanics and clinical implications often remain misunderstood. This session delivers a technical deep dive into how these models integrate visual, textual, and structured data to advance diagnostic imaging. Attendees will explore cutting-edge research, learn about the architectural foundations of state-of-the-art (SOTA) models, and examine real-world use cases in medical imaging AI. Whether you’re a researcher, clinician, or imaging IT professional, this session will help you connect technical innovation with clinical relevance and anticipate where this technology is headed next. 

Objectives 

• Describe the architectural components and core principles of multimodal foundation models.
• Discuss current state-of-the-art research approaches and their application to medical imaging.
• Explain the clinical and operational potential of multimodal AI in enterprise imaging.